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Conference Paper
A Study on Fire Detection Technology through Spectrum Analysis of Smoke Particles
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- Authors
- Soyoung Park, Kyu Won Han, Kangbok Lee
- Issue Date
- 2020-10
- Citation
- International Conference on Information and Communication Technology Convergence (ICTC) 2020, pp.1563-1565
- Publisher
- IEEE
- Language
- English
- Type
- Conference Paper
- Abstract
- This paper presents a technique for determining whether a fire is present and where the fire comes from by analyzing the type of smoke and the source of fire through spectral analysis of smoke particles. The technique can be divided into the part that acquires the spectral data according to the photoreaction of the smoke particles by the sensor, and the part that determines whether it is a fire and the type of fire through intelligent analysis of the spectral data. Unlike conventional photoelectric smoke detection techniques that determine whether or not a fire has occurred by analyzing the photoreaction the varies depending on the size and concentration of smoke particles, the proposed technique is expected that it can contribute to the reduction of non-fire reports by using a method of identifying the type of smoke and cause of smoke generation.
- KSP Keywords
- Detection technology, Fire detection, Intelligent analysis, Smoke detection, Smoke particles, Spectral analysis(SPECAN), Spectrum Analysis, detection techniques, spectral data